General approaches for handling endless streams and evolving distributions

Algorithms for supervised and unsupervised learning on data streams

Questions that we will answer include

How to track hot topics in millions of tweets?

How to continuously update learned models?

How to effectively handle varying data rates?

Can we do better than using all available time? (Yes...)

Bachelor students are welcome:

Even though this course is a master course, bachelor students are welcome.

Bachelors can participate in this course if they are in the final
stage of their bachelor studies. However, it is not possible to register
for the exam (via CAMPUS or ZPA)! You will have to register separately
at our chair. After passing the exam you may hand in your results (ZPA)
as soon as you are registered as a Master student. Additionally, please send us an e-mail (containing your RWTH User-ID) to set up the access to our L2P course room (slides, announcements,...).